Healthcare User Experience Portfolio
I design solutions grounded in rigorous user research and informed by health equity and health literacy principles. My background includes UX work on healthcare and medical systems projects.
8+ health & medical
field clientsFrom 2022 to 2026 I focused on healthcare full time, building on my M.S.I. in Human-Computer Interaction from the University of Michigan: an M.S. in Community Health Education at Wayne State (Summa Cum Laude), Certified Health Education Specialist (CHES) and Certified Associate in Healthcare Information and Management Systems (CAHIMS) credentials, a Medical Procedures Unit volunteer role at Michigan Medicine, and the healthcare UX projects in this portfolio. That mix of HCI training, graduate health education, clinical exposure, and design work is the foundation I use now when I research and design for patients, clinicians, and care teams.
Portfolio
An AI-powered clinical documentation redesign for a primary care electronic health records application
Anonymized usability analysis improving eligibility and enrollment findability on a public health benefits portal
Trauma-informed TF-CBT software used by clinicians, youth, and caregivers for fidelity, privacy, and longitudinal outcomes
Testimonial 1 of 8
I conduct mixed-methods research — including user interviews, usability testing, heuristic evaluations, persona development, journey mapping, and benchmarking — to uncover the needs, pain points, and workflows of patients, clinicians, and caregivers in complex healthcare contexts.
I translate research insights into intuitive, accessible interfaces, workflows, and educational materials that perform reliably under real conditions of care—grounded in human factors, health equity, cognitive load, health literacy, and inclusive, co-designed solutions.
Drawing on my background in community health education and health equity, I bring evidence-based approaches to health literacy, program design, and culturally responsive communication — ensuring digital tools are not only usable but meaningful within the communities they serve.
How I work
Four principles that guide how I research, design, and evaluate digital health experiences.
I ground design decisions in published research, primary interviews, and usability evidence—so recommendations are traceable, defensible, and tied to real clinical constraints rather than preference alone.
I design for the people delivering care, the people receiving it, and the communities they’re part of — balancing clinician workflow needs, patient and caregiver experience, and the realities of the populations these tools ultimately serve.
When AI enters the workflow, I make provenance, confidence, and human review visible. Trust is designed in through verification gates—not assumed after the model generates an answer.
I treat literacy, access, culture, and social context as design requirements. Interfaces and content should work for diverse communities, not only for the most digitally fluent users.